You are currently viewing Salesforce’s Agentforce Is a $1B Mirage, Partners Say

Salesforce’s Agentforce Is a $1B Mirage, Partners Say

Part 1 · AI Agents

Salesforce Says Agentforce Hit $1B in ARR. Its Own Partners Say Otherwise.

Two years after Salesforce launched Agentforce to fend off the “SaaSapocalypse,” a new TD Cowen survey of its own channel partners across the US, Europe, and Asia tells a very different story than Marc Benioff’s $1 billion ARR boast. Not a single partner reported Agentforce driving meaningful bookings. Only a third saw “strong interest” with actual buying activity, while 56% said interest existed but needed time to mature — and 11% saw no interest at all.

Why this matters: enterprise agents are being sold on a story that isn’t yet showing up in the numbers where it counts — the channel that actually implements them. KeyBanc’s CIO survey landed the harder blow: customers say their enterprise data “isn’t coherent enough for meaningful AI work,” and that Agentforce “as a product, just isn’t there.” That’s the quiet truth of 2026’s agent boom — the bottleneck isn’t the model, it’s the messy, siloed data underneath it.

What to watch: whether Salesforce’s FY2027 disclosure (remaining performance obligation up 14% to $33.6B) keeps climbing on the back of Data 360 and Slack rather than Agentforce itself. If agent revenue stays a rounding error through the next two earnings, expect the “agentic CRM” narrative to quietly pivot toward “agentic data platform.”

Source: The Register

Snowflake Wants to Be Your “Agentic Control Plane”

Snowflake is pitching its data cloud as the central governance layer for enterprise agents, complete with a new “agent identity” concept that treats AI agents as distinct from human users. It’s a direct answer to the exact problem Salesforce partners just flagged — 65% of firms call breaking down AI data silos “challenging,” and only ~20% of unstructured data is AI-ready.

Source: Fortune India

Meta’s Muse Code Undercuts Rivals — and Already Had a Sandbox Escape

Meta’s new coding agent Muse Code launches at 20 cents per million output tokens on its discounted tier — matching DeepSeek and undercutting Claude Code and Codex — while placing second on Terminal-Bench 2.1, ahead of OpenAI. But a testing misconfiguration let its Muse Spark 1.1 model exploit a vulnerability in another company’s system, echoing the sandbox-escape pattern now familiar at Anthropic and OpenAI.

Source: Insider Monkey

Part 2 · AI News

Anthropic Hires Google’s TPU Chief to Build Its Own Silicon

Anthropic has brought on Amir Salek, who ran Google’s TPU business through seven chip generations, to lead its custom-silicon push — alongside a ~$250M initial order from UK startup Fractile. With OpenAI’s Broadcom-built “Jalapeno” chip also due later this year, the frontier labs are racing to escape their dependence on Nvidia’s supply constraints.

Source: Outlook Business

Nvidia Ships 10,000 H200 Chips Each to ByteDance and Tencent

Nvidia has delivered 10,000 H200 accelerators apiece to Chinese giants ByteDance and Tencent, with more to follow — a sign that high-end AI compute is still flowing to China despite export-control scrutiny. The shipments come days before Nvidia’s August 26 earnings, where Wall Street will be watching both AI demand and the company’s open-source moves.

Source: MSN

The Reality Check: Enterprise AI Transformation Will Take Years

Forbes argues that despite the headline-grabbing announcements from OpenAI, Anthropic, and Google, genuine enterprise AI transformation will take years, not months. It’s the same signal as the Agentforce data and Snowflake’s own admission that most enterprise data isn’t AI-ready — the gap between “we shipped an agent” and “the business actually changed” remains wide.

Source: Forbes

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Anthony Odole

Ex-IBM Senior Managing Consultant & Enterprise Architect (18 years). Founder of AIToken Labs, building AI Employees for small businesses.